Research on the navigation method of large-scale differential tail-control improvised guided munitions based on rotational speed constraints

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外文摘要：In the process of launching guided projectile under the conventional system,it is difficult to effectively obtain the precise navigation parameters of the projectile in the high dynamic environment.Aiming at this problem,this paper describes a new system of guided ammunition based on tail spin reduction.After analyzing the mechanism of the ammunition's tail spin reduction,a navigation method of large scale difference tail control simple guided ammunition based on speed constraint is proposed.In this method,the corresponding navigation constraints can be carried out by combining the rotation speed state of the ammunition itself,and the optimal solution of navigation parameters during the flight of the missile can be obtained by Extended Kalman Filter(EKF).Finally,the performance of the proposed method was verified by the simulation environment,and the hardware-in-the-loop simulation test and flight test were carried out to verify the performance of the method in the real environment.The experimental results show that the proposed method can achieve the optimal estimation of navigation parameters for simple guided ammunition with large-scale difference tail control.Under the conditions of simulation test and hardware-in-loop simulation test,the position and velocity errors calculated by the method in this paper converged.Under the condition of flight test,the spatial average error calculated by the method described in this paper is 6.17 m,and the spatial error of the final landing point is 3.50 m.Through this method,the accurate acquisition of navigation parameters in the process of projectile launching is effectively realized.

外文关键词：

Guided projectilesTail spin reductionRPM constraintsCombined navigationExtended Kalman filter(EKF)

作者：

Ning Liu、Wenjiang Zhao、Yao Wang、Kai Shen、Zhong Su、Wenhao Qi、Yuedong Xie

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作者单位：

Beijing Key Laboratory of High Dynamic Navigation Technology,Beijing Information Science and Technology University,Beijing,100192,China

Hua an Industry Group Co.,Ltd.,Qiqihar,161006,China

Integrated Navigation and Intelligent Navigation Laboratory,Beijing Institute of Technology,Beijing,100081,China

Beijing Institute of Technology,Beijing,100081,China

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基金：

Natural Science Foundation of Beijing MunicipalityCrossdisciplinary Collaboration Project of Beijing Municipal Science and Technology New Star Program

项目编号：

4212003202111

出版年：

2024

DOI：

10.1016/j.dt.2024.02.005

防务技术

中国兵工学会

防务技术

CSTPCD

影响因子：0.358

ISSN：2214-9147

年,卷(期)：2024.38(8)